Sr. Azure Data Architect (Databricks & Strong Banking Domain) - Only W2

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
75% Travel
Able to Provide Sponsorship

Skills

Google Cloud Platform
Data Warehouse
Databricks
Financial Services
Good Clinical Practice
Cloud Computing
Collaboration
Data Architecture
Data Lake
Data Security
Amazon Web Services
Analytics
Regulatory Compliance
SQL
SQL Azure
Machine Learning (ML)
Mentorship
Microsoft Azure
Python
Real-time
Scala
Apache Spark
Artificial Intelligence
Banking
Information Security Governance
Privacy
Storage
Streaming
Workflow

Job Details

Our Challenge:

  • We are seeking an experienced Azure Data Architect to design and implement scalable, secure, and efficient data solutions on Azure Cloud for our financial services client.
  • The architect will lead the development of data platforms using Azure services and Databricks, ensuring robust data architecture that supports business objectives and regulatory compliance.

Responsibilities:

  • Design and develop end-to-end data architecture on Azure Cloud, including data ingestion, storage, processing, and analytics solutions.
  • Lead the deployment of Databricks environments and integrate them seamlessly with other Azure services.
  • Collaborate with stakeholders to gather requirements and translate them into architectural designs.
  • Ensure data security, privacy, and compliance standards are met within the architecture.
  • Optimize data workflows and pipelines for performance and cost-efficiency.
  • Provide technical guidance and mentorship to development teams.
  • Keep abreast of the latest Azure and Databricks technologies and incorporate best practices.

Must Have:

  • Extensive experience designing and implementing data architectures on Azure Cloud.
  • Deep understanding of Databricks platform and its integration with Azure services.
  • Strong knowledge of data warehousing, data lakes, and real-time streaming solutions.
  • Proficiency in SQL, Python, Scala, or Spark.
  • Experience with Azure Data Factory, Azure Data Lake, Azure SQL, and Azure Synapse Analytics.
  • Solid understanding of security, governance, and compliance in cloud data solutions.

Nice to Have:

  • Experience working in the financial services domain.
  • Knowledge of machine learning and AI integration within data platforms.
  • Familiarity with other cloud platforms like AWS or Google Cloud Platform.
  • Certifications such as Azure Solutions Architect Expert, Azure Data Engineer, or Databricks Certification.

Certifications:

  • Azure Solutions Architect Expert
  • Azure Data Engineer Associate
  • Databricks Certification (Certified Data Engineer or similar)
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